Time-dependent, dynamic prediction of fatty acid-binding protein 4, Galectin-3, and soluble ST2 measurement with poor outcome after acute stroke.
Time-dependent, dynamic prediction of fatty acid-binding protein 4, Galectin-3, and soluble ST2 measurement with poor outcome after acute stroke.
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DOI:
10.1177/1747493020971166
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发表时间:
2021-08
期刊:
影响因子:
--
通讯作者:
Kimberly WT
中科院分区:
文献类型:
--
作者:
Hansen C;Sastre C;Wolcott Z;Bevers MB;Kimberly WT
Time-dependent change in the level of biomarkers after stroke is not well understood. We sought to compare Fatty Acid Binding Protein 4 (FABP4), Galectin-3 (Gal-3), and soluble ST2 (sST2), to ascertain for a change in prediction of outcome at admission and 48 hours later. Plasma FABP4, Gal-3, and sST2 were measured in biospecimens from acute stroke patients at the time of admission (n=383) and 48 hours later (n=244). Functional outcome was assessed at 90 days using the modified Rankin Scale (mRS), dichotomized into good (mRS 0-2) and poor outcome (mRS 3-6). On admission, elevated levels of each biomarker predicted poor outcome (FABP4: OR 1.92, 95% CI 1.42-2.59, P<0.0001; Gal-3: OR 1.85, 95% CI 1.42-2.40, P<0.0001; sST2: OR 1.55, 95% CI 1.22-1.97, P<0.0001) and death (FABP4: OR 2.45; 95% CI 1.51-3.98; P<0.0001; Gal-3: OR 2.12; 95% CI 1.50-3.30; P<0.0001; sST2: OR 2.17; 95% CI 1.58-2.99; P<0.0001). At 48 hours, sST2 predicted poor outcome (OR 2.62, 95% CI 1.77-3.88, P<0.0001) and mortality (OR 3.36, 95% CI 2.06-5.48, P<0.0001), and Gal-3 predicted mortality only (OR 1.81, 95% CI 1.05-3.10, P=0.033). FABP4 measured at 48 hours was not predictive of outcome or death. Associations of Gal-3 and sST2 with outcome or mortality were independent of age, sex, and NIHSS, whereas those with FABP4 were not. Gal-3 performed better when measured on admission, whereas soluble ST2 was predictive at admission and better at 48 hours after stroke. The time-dependent differences may reflect the evolving role of these pathways after acute stroke.
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影响因子:
5.3
作者:
Yang, Yuanyuan;Liu, Huan;Hu, Xiaoming
通讯作者:
Hu, Xiaoming
影响因子:
37.8
作者:
Sabatine, Marc S.;Morrow, David A.;Lee, Richard T.
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8.3
作者:
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He, Jiang
DOI:
10.1126/science.aal3589
发表时间:
2018-03-16
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Vainchtein ID;Chin G;Cho FS;Kelley KW;Miller JG;Chien EC;Liddelow SA;Nguyen PT;Nakao-Inoue H;Dorman LC;Akil O;Joshita S;Barres BA;Paz JT;Molofsky AB;Molofsky AV
通讯作者:
Molofsky AV
影响因子:
8.3
作者:
Tu, Wen-Jun;Zeng, Xian-Wei;Liu, Qiang
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Liu, Qiang